Interpreter AI Assist Survey & Latency Workstation ISO/DIS 2026 Ready

Real-time speech recognition (ASR) & translation (AST) latency benchmarking engine

r/anonymousinterpreters • u/masontheinterpreter & OldSpecialist1999 “Do you use AI-generated real-time captions while you are interpreting to assist you? Like those as automated speech recognition or automated speech translation?”
Profile Presets:
Live Streaming Latency vs Human Lag 60 FPS • Real-time Stream
Source Speaker Audio
AI ASR Caption Delivery
Human EVS (Decalage Lag)
ASR Caption Latency: 650 ms

Measured window from phoneme utterance to STT subtitle presentation.

Interpreter Ear-Voice Span (EVS / Decalage): 2400 ms

Standard cognitive delay required to parse source syntax and formulate target delivery.

Caption Error Rate (WER / Hallucination): 3.5%
Timing Gap Analysis: AI captions precede human rendition by 1750 ms. Providing an optimal 1.75s predictive window for acronyms and numeral verification without eye fatigue.
Interpreter Adoption Response Log Respondent Questionnaire
Cognitive Load Rating (NASA-TLX equivalent 1-10): 4 / 10

Workflow Impact Scorecard & Evaluation

Real-time computed evaluation grounded in human-AI interaction factors

Balanced Hybrid Assist
Adoption Readiness High with Human-in-the-Loop Override Supervised assistive tier
Cognitive Efficiency Optimized for Terminology Backstopping Term & numeral retention
Recommended Latency Floor 400 ms Threshold to avoid split-attention flicker
Operational Status Balanced Hybrid Assist Human interpreter leads delivery
Profile: Simultaneous Conference Interpreter • Latency: 650ms • WER: 3.5%
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